Triple
T23489650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajasthan sector |
E570633
|
entity |
| Predicate | nearbyDesert |
P37774
|
FINISHED |
| Object | Thar Desert |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Thar Desert | Statement: [Rajasthan sector, nearbyDesert, Thar Desert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thar Desert Context triple: [Rajasthan sector, nearbyDesert, Thar Desert]
-
A.
Thar Desert
chosen
The Thar Desert is a vast arid region in northwestern India and eastern Pakistan, known for its sand dunes, extreme climate, and sparse vegetation.
-
B.
Gareja desert
The Gareja desert is a semi-arid, rocky landscape in eastern Georgia known for its stark beauty and its historic cave monasteries, including the David Gareja complex.
-
C.
Muyunkum Desert
The Muyunkum Desert is an arid desert region in southern Kazakhstan characterized by sandy plains and sparse vegetation.
-
D.
Murzuq Desert
The Murzuq Desert is a vast, remote sand desert in southwestern Libya, known for its towering dunes, extreme aridity, and sparse human habitation.
-
E.
Siloli Desert
The Siloli Desert is a remote, high-altitude desert in southwestern Bolivia, known for its stark rock formations, sparse vegetation, and otherworldly landscapes within the Andean plateau.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7dae8cc8190bf74d1bdb0fc6c60 |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:04 p.m.